Robots are commonplace in factories, and increasingly in warehouses like those run by Amazon. But what about robots to help with household chores — so-called humanoids to load the dishwasher or fold the laundry? To find out, we checked in with Ken Goldberg, professor of engineering at UC Berkeley and co-founder of the AI and robotics company Ambi Robotics. He spoke to Marketplace’s Nova Safo en route from a robotics conference in China.
Ken Goldberg (Why Don’t We Have Better Robots Yet?) is an award-winning artist, roboticist, and engineering professor. Ken joins the Armchair Expert to discuss being born in Nigeria, growing up in rough and tumble City of Brotherly Love, and on how that taught him how to not take things lying down. Ken and Dax address the elephant panties in the room, how a course he took in 1981 began his trajectory in robotics and AI, and the tragic archetype of Pygmalion and the hubris of falling in love with your creation. Ken explains the Czechoslovakian etymology of the word “robot,” why don’t we have better robots yet, and how he stays optimistic doing a job predicated on failure. Follow Armchair Expert on the Wondery App or wherever you get your podcasts. Watch new content on YouTube or listen to Armchair Expert early and ad-free by joining Wondery+ in the Wondery App, Apple Podcasts, or Spotify. Start your free trial by visiting wondery.com/links/armchair-expert-with-dax-shepard/ now. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Why hasn't the dream of having a robot at home to do your chores become a reality yet? With three decades of research expertise in the field, roboticist Ken Goldberg sheds light on the clumsy truth about robots — and what it will take to build more dexterous machines to work in a warehouse or help out at home. Hosted on Acast. See acast.com/privacy for more information.
Today we’re joined by return guest Ken Goldberg, a professor at UC Berkeley and the chief scientist at Ambi Robotics. It’s been a few years since our initial conversation with Ken, so we spent a bit of time talking through the progress that has been made in robotics in the time that has passed. We discuss Ken’s recent work, including the paper Autonomously Untangling Long Cables, which won Best Systems Paper at the RSS conference earlier this year, including the complexity of the problem and why it is classified as a systems challenge, as well as the advancements in hardware that made solving this problem possible. We also explore Ken’s thoughts on the push towards simulation by research entities and large tech companies, and the potential for causal modeling to find its way into robotics. Finally, we discuss the recent showcase of Optimus, Tesla, and Elon Musk’s “humanoid” robot and how far we are from it being a viable piece of technology. The complete show notes for this episode can be found at twimlai.com/go/599.
Today we’re joined by Ken Goldberg, professor of engineering at UC Berkeley, focused on robotic learning. In our conversation with Ken, we chat about some of the challenges that arise when working on robotic grasping, including uncertainty in perception, control, and physics. We also discuss his view on the role of physics in robotic learning, and his thoughts on potential robot use cases, from the use of robots in assisting in telemedicine, agriculture, and even robotic Covid-19 testing.